Circular Ordering Methods for Timing and Visualization of Oscillatory Signals

Building Bridges between Soft and Statistical Methodologies for Data Science (2022)

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摘要
This paper is focused on the problem of inferring a circular order to solve two different issues arising in the analysis of real data in genomics: the development of a human atlas of circadian gene expressions and a taxonomy of neuronal mouse brain cells. The solutions are derived using different approaches to ordering in a circle the sampling points, the cells or the genes.
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oscillatory signals,visualization,timing
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